Suhyeon Lee
This study examines how different social media platforms moderate the relationship between online word-of-mouth (WOM) and business performance. Through a comprehensive analysis of multi-platform WOM dynamics, we investigate how platform-specific characteristics, user behaviors, and algorithmic features influence the effectiveness of online word-of-mouth in driving business outcomes. Our findings reveal significant heterogeneity in WOM impact across platforms, with important implications for digital marketing strategy.
Dynamics of Online WOM and Performance: The Differential Role of Social Media Platforms
Abstract
Key Findings
Platform Heterogeneity
WOM effectiveness varies dramatically across platforms, with Instagram showing 3x higher conversion rates than Twitter.
Audience Characteristics
Platform user demographics and behaviors significantly moderate WOM impact on business performance.
Cross-Platform Synergies
WOM across multiple platforms creates synergistic effects, with 40% higher impact than single-platform strategies.
Temporal Dynamics
WOM decay rates and persistence effects differ significantly across platforms, affecting long-term marketing strategies.
Strategic Implications
💰 Budget Allocation
Businesses should allocate marketing resources based on platform-specific WOM effectiveness, prioritizing high-conversion platforms.
📝 Content Strategy
Develop platform-specific content strategies that leverage unique affordances and user behaviors for maximum WOM impact.
🎯 Audience Targeting
Match product categories and target demographics with platforms that show highest WOM-to-performance conversion rates.
📊 Performance Measurement
Implement platform-specific KPIs and attribution models that account for differential WOM effectiveness and decay patterns.
Technical Specifications
Social Media Analytics
Word-of-Mouth Marketing
Platform Strategy
Digital Marketing
Consumer Behavior
Business Performance
Multi-Platform Analysis